Scholar
Lingwei Chen
Google Scholar ID: CnKs0mEAAAAJ
Rochester Institute of Technology
Citations & Impact
Citations
1,468
H-index
18
i10-index
28
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Paper on retrieval-augmented latent diffusion accepted to IEEE BigData 2025
- Paper on extreme event prediction accepted to ICDM 2025
- Paper on multi-modal vulnerability detection accepted to Information Fusion 2025
- COLA 2024 Best Paper Award
- Presidential Award for Faculty Excellence: Early Career Achievement (2025)
- CECS Early Career Achievement Award (2025)
- Paper on code similarity analysis accepted to IST 2025
- Paper on cost-efficient vulnerability detection accepted to JSS 2025
- Paper on FEA automation using LLMs and GNNs accepted to AAAI 2025
- Paper on chatbots for autism interventions accepted to EAIT 2024
- Paper on using LLMs to enhance few-shot GNNs accepted to IEEE BigData 2024
- Student abstract on phishing detection using LLMs accepted to AAAI 2025
- Paper on graph-based fraud detection accepted to ACML 2024
- Paper on dual-reasoning LLMs accepted to ICONIP 2024
- Paper on cross-modal adversarial reprogramming for vulnerability detection accepted to Information Sciences 2024
- Two papers accepted to EMBS 2024
- Two papers accepted to DASFAA 2024: energy-based bot detection and addressing heterophily in GNNs
- Paper on class-imbalanced fraud detection accepted to IJCNN 2024
- Served on NSF Panel (Dec 2023)
- Paper on enhancing CV interpretability accepted to Sensors 2023
- Paper on fooling AI explanations accepted to EMNLP 2023
- Paper on vulnerability detection accepted to ESWA 2023
- Paper on few-shot node classification accepted to ICDM 2023
- Paper on class-imbalanced bot detection accepted to CIKM 2023
- Paper on adversary for social good accepted to TKDD 2023
- NSF CRII proposal funded (Mar 2023)
- Paper on cross-modal adversarial reprogramming accepted to WWW 2023
- Paper on hierarchical GNN accepted to PAKDD 2023
Background
- Currently a tenure-track Assistant Professor in the Golisano College of Computing and Information Sciences at Rochester Institute of Technology (RIT)
- Research interests lie at the intersection of machine learning and security, with emphases on:
- Trustworthy machine learning: adversarial attacks and defenses, adversary for social good, model explanations, and other trustworthiness issues
- Cybersecurity with ML/AI: detecting security threats (e.g., malware, fraud, bots, phishing, vulnerabilities) under challenging data scenarios (e.g., few-shot learning, class imbalance, heterophilic structures) using graph neural networks and language models
- Data mining and data science: real-world applications in IoT, social networks, bioinformatics, education, information retrieval, and more